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題 名 | Particle Swarm Optimization with Grey Neighborhood Operator |
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作 者 | Yeh, Ming-feng; Wang, Shih-chang; Leu, Min-shyang; Wang, Wei-jei; | 書刊名 | Journal of Grey System |
卷 期 | 17:4 2014.12[民103.12] |
頁 次 | 頁185-191 |
分類號 | 400.24 |
關鍵詞 | Evolutionary computation; Grey relational analysis; Neighborhood topology; Particle swarm optimization; |
語 文 | 英文(English) |
英文摘要 | With the help of grey relational analysis, this study attempts to propose a grey neighborhood operator to determine the local best position for particle swarm optimization algorithm. Such a grey-based local best particle swarm optimization is denoted as Glbest particle swarm optimization in this study. The grey neighborhood operator is proposed to not only avoid premature convergence but also improve the search performance. In addition, Glbest particle swarm optimization is applied to solve the optimization problems of six benchmark functions for illustration. Simulation results show that the proposed Glbest particle swarm optimization could outperform several particle swarm optimization variants on most of the test functions. |
本系統中英文摘要資訊取自各篇刊載內容。